Gene and microRNA expression profiling of breast tumors from Chinese and Italian women [miRNA]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE59594 | GEO | 2015/03/31
SECONDARY ACCESSION(S): PRJNA255672
REPOSITORIES: GEO
Similar Datasets
Project description:Gene and miRNA profiles from a unique Chinese/Caucasian trans-ethnic collection of breast cancer from Shanghai (China) and Milan (Italy) were compared using an unsupervised approach that identified similar clusters of correlated features in Chinese and Caucasian datasets. Partition of gene expression data using previously published gene signatures, such as the PAM50 intrinsic gene list and the extracellular matrix (ECM) genes, revealed Chinese and Caucasian subgroups with equivalent gene and miRNA expression profiles. A significant reduction of Luminal-A tumors was observed in the Chinese series.
2015-03-31 | GSE59590 | GEO
Project description:Gene and miRNA profiles from a unique Chinese/Caucasian trans-ethnic collection of breast cancer from Shanghai (China) and Milan (Italy) were compared using an unsupervised approach that identified similar clusters of correlated features in Chinese and Caucasian datasets. Partition of gene expression data using previously published gene signatures, such as the PAM50 intrinsic gene list and the extracellular matrix (ECM) genes, revealed Chinese and Caucasian subgroups with equivalent gene and miRNA expression profiles. A significant reduction of Luminal-A tumors was observed in the Chinese series. Tissue samples from 78 Chinese (Han Chinese) and 97 Italian (South Europe Caucasian) consecutive primary breast tumors were subjected to gene and miRNA profiling. Tissue specimens, initially collected respectively in the Chinese and Italian hospitals, were all stored, randomly processed and analyzed in identical experimental conditions in the Italian center to minimize pre-analytical, instrumental and computational variability, enabling direct comparison of gene and miRNA profiles from the two groups.
2015-03-31 | E-GEOD-59590 | biostudies-arrayexpress
Project description:Gene and miRNA profiles from a unique Chinese/Caucasian trans-ethnic collection of breast cancer from Shanghai (China) and Milan (Italy) were compared using an unsupervised approach that identified similar clusters of correlated features in Chinese and Caucasian datasets. Partition of gene expression data using previously published gene signatures, such as the PAM50 intrinsic gene list and the extracellular matrix (ECM) genes, revealed Chinese and Caucasian subgroups with equivalent gene and miRNA expression profiles. A significant reduction of Luminal-A tumors was observed in the Chinese series. Tissue samples from 78 Chinese (Han Chinese) and 97 Italian (South Europe Caucasian) consecutive primary breast tumors were subjected to gene and miRNA profiling. Tissue specimens, initially collected respectively in the Chinese and Italian hospitals, were all stored, randomly processed and analyzed in identical experimental conditions in the Italian center to minimize pre-analytical, instrumental and computational variability, enabling direct comparison of gene and miRNA profiles from the two groups.
2015-03-31 | E-GEOD-59594 | biostudies-arrayexpress
Project description:All cell lines were purchased from ATCC (LGC Standards S.r.l., Milan, Italy), except T-47D and MDA-MB-468 that were obtained from the National Cancer Institute Developmental Therapeutics Program (Frederick, MD).
2015-07-28 | GSE71395 | GEO
Project description:The EAGLE (Environmental and Genetic Lung Cancer Etiology) gene expression study is case-control study of lung cancer conducted in Milan, Italy, designed to identify molecular alteration, particularly gene expression variation induced by smoking in lung carcinoma in this data set. The study is initiated by the Division of Cancer Epidemiology and Genetics (DCEG).
2015-11-24 | GSE75324 | GEO
Project description:Pediatric acute lymphoblastic leukemia (ALL) contains cytogenetically distinct subtypes that respond differently to cytotoxic drugs. Subtype classification can be also achieved through gene expression profiling. However, how to apply such classifiers to a single patient and correctly diagnose the disease subtype in an independent patient group has not been addressed. Furthermore, the underlying regulatory mechanisms responsible for the subtype-specific gene expression patterns are still largely unknown. Here, by combining three published microarray datasets (PMIDs: 12086872, 12730115, 17002788) on 535 Caucasian samples and generating a new dataset on 100 Chinese children ALL samples, we were able to 1) identify a 62-gene classifier with 97.6% accuracy from the Caucasian samples and validated it on the completely independent set of 100 Chinese samples, 2) to uncover potential regulatory networks of ALL subtypes. The classifier we identified was so far the only one that could be applied directly to a single sample and sustained validation in a large independent patient group. Our results also suggest that the etiology of ALL is largely the same among different ethnic groups, and that the transcription factor hubs in the predicted regulatory network might play important roles in regulating gene expression and development of ALL.
2009-08-19 | GSE17703 | GEO
Project description:Elucidating the genetic basis underlying the variation in hepatic gene expression is of importance to understand disease etiology and drug metabolism variances. To date, no genome-wide eQTL analysis has been conducted in the Han Chinese, the largest ethnic group in the world. We performed a genome-wide eQTL mapping in a set of Han Chinese liver tissue (n=64). Normal (non-diseased) liver tissues were previously collected from 64 Chinese donors who provided informed consent. All samples were stored frozen at -80M-bM-^DM-^C from collection until processing for RNA and DNA extraction. DNA /Total RNA of the human liver tissue samples were extracted by using the RNA/DNA Mini Kit (Qiagen, Hilden, Germany).each RNA sample were labeled and hybridized to the One-Color Agilent 60-mer Whole Human Genome Microarray (G4112F, GPL4133) at the Agilent Microarray Facility of Shanghai genomePilot Technology, Inc. The genome-wide scan was performed using the Affymetrix Genome-Wide Human SNP Array 6.0. We tested all expression traits for their associations with each of the QC passed SNPs using PLINK's assoc function for quantitative traits, which correlates allele dosage with changes in the trait.
2015-01-02 | E-GEOD-53791 | biostudies-arrayexpress
Project description:Elucidating the genetic basis underlying the variation in hepatic gene expression is of importance to understand disease etiology and drug metabolism variances. To date, no genome-wide eQTL analysis has been conducted in the Han Chinese, the largest ethnic group in the world. We performed a genome-wide eQTL mapping in a set of Han Chinese liver tissue (n=64). Normal (non-diseased) liver tissues were previously collected from 64 Chinese donors who provided informed consent. All samples were stored frozen at -80℃ from collection until processing for RNA and DNA extraction. DNA /Total RNA of the human liver tissue samples were extracted by using the RNA/DNA Mini Kit (Qiagen, Hilden, Germany).each RNA sample were labeled and hybridized to the One-Color Agilent 60-mer Whole Human Genome Microarray (G4112F, GPL4133) at the Agilent Microarray Facility of Shanghai genomePilot Technology, Inc. The genome-wide scan was performed using the Affymetrix Genome-Wide Human SNP Array 6.0. We tested all expression traits for their associations with each of the QC passed SNPs using PLINK's assoc function for quantitative traits, which correlates allele dosage with changes in the trait.
2015-01-02 | E-GEOD-53790 | biostudies-arrayexpress
Project description:Breast cancer is a heterogeneous disease described in well-recognized biological subtypes. Particularly, gene expression profiling has revealed 5 intrinsic subtypes of breast cancer characterized by different biological and clinical features. The diversity of the intrinsic subtypes across human population has been limited described, and there is few information about the genomic architecture of breast tumors in Mexican or Hispanic populations. In this study, we performed PAM50 assay, based in Affymetrix microarray profiling of 128 fresh frozen tumors from Mexican Latino Hispanic population, to describe the overall distribution of subtypes, and characterize the relation to clinicopathologic characteristics. As well, we correlated the mRNA expression patterns with specific copy number alterations (CPA), in order to analyze their role in breast tumors. A total of 100 blood-tumor samples were assayed using Affymetrix 6.0 SNP arrays; segmentation analysis and GISTIC were performed to identify focal amplifications or deletions. The distribution of PAM50 intrinsic subtypes in our cohort was computed to be 44% luminal A, 20% luminal B, 12.0% HER2-enriched, 12% basal-like, and 12% normal-like. Study comparison with the literature mainly TCGA and METABRIC (most of the patients came from Caucasian population), as well as LACE (which describe a population study) show a similar distribution of the intrinsic subtypes within Hispanic and Caucasian populations. Interestingly, basal-like subtype is less represented than in African-American race. The sum of sensitivity and specificity between the clinicopathologic and intrinsic subtype categories across 4 groups (excluding normal-like) was 50% and 87.5%, respectively. Differentially expression profiles within the subtypes reveal a set of genes altered in each group with biological relevance to stablish the phenotypical characteristics of each subtype. Our analyses confirmed the already reported copy number data. Importantly, many of the copy number profiles correlated with mRNA subtype. With this analysis we can conclude that breast cancer intrinsic subtypes have been reproduced in Mexican population contributing to the description of the PAM50 subtypes among multiple ethnic groups based on a gene expression assay. Our observation based in the integrative genomic analysis of mRNA expression and CPA allowed us to define gene circuits and phenotypic characteristics that can explain the heterogeneity of breast cancer subtypes.
2018-08-31 | GSE86374 | GEO
Project description:Breast cancer is a heterogeneous disease described in well-recognized biological subtypes. Particularly, gene expression profiling has revealed 5 intrinsic subtypes of breast cancer characterized by different biological and clinical features. The diversity of the intrinsic subtypes across human population has been limited described, and there is few information about the genomic architecture of breast tumors in Mexican or Hispanic populations. In this study, we performed PAM50 assay, based in Affymetrix microarray profiling of 128 fresh frozen tumors from Mexican Latino Hispanic population, to describe the overall distribution of subtypes, and characterize the relation to clinicopathologic characteristics. As well, we correlated the mRNA expression patterns with specific copy number alterations (CPA), in order to analyze their role in breast tumors. A total of 100 blood-tumor samples were assayed using Affymetrix 6.0 SNP arrays; segmentation analysis and GISTIC were performed to identify focal amplifications or deletions. The distribution of PAM50 intrinsic subtypes in our cohort was computed to be 44% luminal A, 20% luminal B, 12.0% HER2-enriched, 12% basal-like, and 12% normal-like. Study comparison with the literature mainly TCGA and METABRIC (most of the patients came from Caucasian population), as well as LACE (which describe a population study) show a similar distribution of the intrinsic subtypes within Hispanic and Caucasian populations. Interestingly, basal-like subtype is less represented than in African-American race. The sum of sensitivity and specificity between the clinicopathologic and intrinsic subtype categories across 4 groups (excluding normal-like) was 50% and 87.5%, respectively. Differentially expression profiles within the subtypes reveal a set of genes altered in each group with biological relevance to stablish the phenotypical characteristics of each subtype. Our analyses confirmed the already reported copy number data. Importantly, many of the copy number profiles correlated with mRNA subtype. With this analysis we can conclude that breast cancer intrinsic subtypes have been reproduced in Mexican population contributing to the description of the PAM50 subtypes among multiple ethnic groups based on a gene expression assay. Our observation based in the integrative genomic analysis of mRNA expression and CPA allowed us to define gene circuits and phenotypic characteristics that can explain the heterogeneity of breast cancer subtypes.
2018-08-31 | GSE87048 | GEO